AI and analytics consulting at enterprise scale, heavy on GenAI and cloud data platforms
Tiger Analytics is a 5,000+ person consulting firm built around data transformation and AI. The tech stack is Google Cloud–dominant (Vertex AI, BigQuery, Dataflow) with secondary AWS/Azure coverage and emerging adoption of dbt, Snowflake, and Dataiku—signaling a shift toward modern cloud warehousing and low-code ML platforms. Hiring velocity is accelerating with 131 roles posted in the last 30 days, weighted heavily toward data (139 open positions) over engineering (45), reflecting a services business scaling delivery capacity. Active projects span GenAI solution development, demand forecasting, and cloud-native ML platform architecture, while recorded pain points cluster around cloud migration, logistics optimization, and controlling hallucinations in LLM outputs.
Notable leadership hires: Strategy Lead, MDM Lead, AI Lead, Program Lead, Sales Director
Tiger Analytics provides AI and data transformation consulting to enterprise clients across North America, UK, India, and APAC. The firm's core service lines span machine learning, predictive analytics, natural language processing, and cloud data platform engineering, with specialization in demand forecasting, pricing optimization, and risk/compliance modeling for financial services. The company operates from Santa Clara with engineering and consulting teams distributed across the US, India, Canada, Mexico, UK, Spain, Singapore, and Australia. Current engagement focuses include large-scale cloud migrations (SAS and Alteryx replacement), GenAI solution builds, and operationalizing data pipelines on AWS and Google Cloud.
Google Cloud (Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Dataproc) is primary, with AWS (EMR, Athena) and Databricks in secondary use. The firm is actively adopting Snowflake, Azure, and GCP alongside existing infrastructure.
Active projects include GenAI solution development, predictive demand forecasting, generative AI and NLP capabilities, pricing and promotion optimization products, cloud-native ML platforms, AWS data pipelines, and predictive models for banking risk and inventory management.
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